Optimization of two-sided assembly line balancing with resource constraints using modified particle swarm optimisation
Two-Sided Assembly Line Balancing (2S-ALB) is essential to the production of large-sized high-volume products, including automotive production, at assembly plants. The 2S-ALB problem involves different assembly resources such as worker skills, tools, and machines required for the assembly. This rese...
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| Format: | Article |
| Language: | English English |
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Sharif University of Technology
2022
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| Online Access: | http://umpir.ump.edu.my/id/eprint/42684/ http://umpir.ump.edu.my/id/eprint/42684/1/Optimization%20of%20two-sided%20assembly%20line%20balancing.pdf http://umpir.ump.edu.my/id/eprint/42684/2/Optimization%20of%20two-sided%20assembly%20line%20balancing%20with%20resource%20constraints%20using%20modified%20particle%20swarm%20optimisation_ABS.pdf |
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| author | Muhammad Razif, Abdullah Make Mohd Fadzil Faisae, Ab Rashid |
| author_facet | Muhammad Razif, Abdullah Make Mohd Fadzil Faisae, Ab Rashid |
| author_sort | Muhammad Razif, Abdullah Make |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Two-Sided Assembly Line Balancing (2S-ALB) is essential to the production of large-sized high-volume products, including automotive production, at assembly plants. The 2S-ALB problem involves different assembly resources such as worker skills, tools, and machines required for the assembly. This research modeled and optimized the 2S-ALB with resource constraints. In the end, besides favorable workload balance, the number of resources can be optimized. For optimization purpose, particle swarm optimization was modified to reduce dependence on a single best solution. This was conducted by replacing the best solution with the top three solutions in the reproduction process. Computational experiment results using 12 benchmark test problems indicated that the 2S-ALB with a resource-constrained model was able to reduce the number of resources for use in an assembly line. Furthermore, the proposed Modified Particle Swarm Optimization (MPSO) was capable of searching for minimum solutions to 11 out of 12 test problems. The good performance of MPSO was attributed to its ability to maintain particle diversity over iterations. The proposed 2S-ALB model and MPSO algorithm were validated later using an industrial case study. This research makes a two-fold contribution: (a) Proposition of a novel 2S-ALB with resource-constrained model and (b) a modified PSO algorithm with enhanced performance. |
| first_indexed | 2025-11-15T03:48:37Z |
| format | Article |
| id | ump-42684 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:48:37Z |
| publishDate | 2022 |
| publisher | Sharif University of Technology |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-426842025-01-07T03:51:09Z http://umpir.ump.edu.my/id/eprint/42684/ Optimization of two-sided assembly line balancing with resource constraints using modified particle swarm optimisation Muhammad Razif, Abdullah Make Mohd Fadzil Faisae, Ab Rashid T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics Two-Sided Assembly Line Balancing (2S-ALB) is essential to the production of large-sized high-volume products, including automotive production, at assembly plants. The 2S-ALB problem involves different assembly resources such as worker skills, tools, and machines required for the assembly. This research modeled and optimized the 2S-ALB with resource constraints. In the end, besides favorable workload balance, the number of resources can be optimized. For optimization purpose, particle swarm optimization was modified to reduce dependence on a single best solution. This was conducted by replacing the best solution with the top three solutions in the reproduction process. Computational experiment results using 12 benchmark test problems indicated that the 2S-ALB with a resource-constrained model was able to reduce the number of resources for use in an assembly line. Furthermore, the proposed Modified Particle Swarm Optimization (MPSO) was capable of searching for minimum solutions to 11 out of 12 test problems. The good performance of MPSO was attributed to its ability to maintain particle diversity over iterations. The proposed 2S-ALB model and MPSO algorithm were validated later using an industrial case study. This research makes a two-fold contribution: (a) Proposition of a novel 2S-ALB with resource-constrained model and (b) a modified PSO algorithm with enhanced performance. Sharif University of Technology 2022-07 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42684/1/Optimization%20of%20two-sided%20assembly%20line%20balancing.pdf pdf en http://umpir.ump.edu.my/id/eprint/42684/2/Optimization%20of%20two-sided%20assembly%20line%20balancing%20with%20resource%20constraints%20using%20modified%20particle%20swarm%20optimisation_ABS.pdf Muhammad Razif, Abdullah Make and Mohd Fadzil Faisae, Ab Rashid (2022) Optimization of two-sided assembly line balancing with resource constraints using modified particle swarm optimisation. Scientia Iranica, 29 (4). pp. 2084-2098. ISSN 1026-3098. (Published) https://doi.org/10.24200/sci.2020.52610.2797 https://doi.org/10.24200/sci.2020.52610.2797 |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics Muhammad Razif, Abdullah Make Mohd Fadzil Faisae, Ab Rashid Optimization of two-sided assembly line balancing with resource constraints using modified particle swarm optimisation |
| title | Optimization of two-sided assembly line balancing with resource constraints using modified particle swarm optimisation |
| title_full | Optimization of two-sided assembly line balancing with resource constraints using modified particle swarm optimisation |
| title_fullStr | Optimization of two-sided assembly line balancing with resource constraints using modified particle swarm optimisation |
| title_full_unstemmed | Optimization of two-sided assembly line balancing with resource constraints using modified particle swarm optimisation |
| title_short | Optimization of two-sided assembly line balancing with resource constraints using modified particle swarm optimisation |
| title_sort | optimization of two-sided assembly line balancing with resource constraints using modified particle swarm optimisation |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics |
| url | http://umpir.ump.edu.my/id/eprint/42684/ http://umpir.ump.edu.my/id/eprint/42684/ http://umpir.ump.edu.my/id/eprint/42684/ http://umpir.ump.edu.my/id/eprint/42684/1/Optimization%20of%20two-sided%20assembly%20line%20balancing.pdf http://umpir.ump.edu.my/id/eprint/42684/2/Optimization%20of%20two-sided%20assembly%20line%20balancing%20with%20resource%20constraints%20using%20modified%20particle%20swarm%20optimisation_ABS.pdf |